WRITING
96 essays on data, AI, e-commerce, and the craft of building — 2021–2026.
2026 Marketing Attribution for DTC: Why Your Channels Never Add Up Meta, TikTok, Google and your email tool each claim the same sale — so your reported revenue exceeds reality. How DTC attribution really works, and what to trust. 2026 Cohort Analysis for E-Commerce: How to Read Retention Like an Operator Blended retention lies. Cohort analysis shows you when and where customers leak — how to build the table, read the curve, and turn it into a decision. 2026 LTV:CAC Ratio for E-Commerce: How to Calculate It (and What Good Looks Like) How to calculate the LTV:CAC ratio for a DTC brand without fooling yourself — the margin-vs-revenue trap, payback period, and what a healthy ratio actually is. 2026 E-Commerce Analytics: A DTC Operator's Guide to the Numbers That Matter What e-commerce analytics actually is, the five metric layers that run a DTC brand, and why your dashboards never reconcile — a practical guide for founders. 2024 Working with None and Null Values in Python Learn about working with None and in Python. Master best practices and avoid common pitfalls easily! 2024 Python Cloud Setup: a Gentle Guide Master Python cloud setup with easy guides on AWS, Azure, PythonAnywhere, and more. Let’s get coding in the cloud! 2024 How to Install Python on macOS? Easily install Python on macOS! Follow my step-by-step guide to configure IDEs and manage virtual environments. 2024 How to Setup Python IDE (Integrated Development Environment)? Learn how to setup Python IDEs! From installation to advanced features, boost your coding game. 2024 How to Install Python on Linux? Learn how to install Python on Linux, manage environments, and configure IDEs with this friendly, step-by-step guide! 2024 Python Environment Variables: A Definetive Guide Learn how to manage Python environment variables effortlessly. Secure your configuration and boost efficiency today! 2024 Python IDE vs Text Editors Python IDE vs text editors: A friendly guide to setting up, configuring, and choosing the right tool for your coding needs! 2024 How to Setup Python with Anaconda? Learn how to setup Python with Anaconda! Follow this friendly guide for an easy installation and configuration process. 2024 How to Properly Install Python Libraries Easily install Python libraries with my step-by-step guide. Perfect for developers and data scientists at any level! 2024 How to Install Python in Virtual Environments? Learn how to install Python virtual environments! Follow my friendly guide to manage dependencies and optimize workflow. 2024 Python with GitHub: A Comprehensive Guide Master Python with GitHub! Learn setup, IDEs, virtual environments, and best practices in this step-by-step guide. 2024 How to Manage Multiple Python Versions? Learn how to manage multiple Python versions effortlessly with step-by-step guidance and pro tips in this friendly guide! 2024 Python Package Managers: A Gentle Introduction Discover the world of Python package managers like Poetry, Pipenv, and PDM. Simplify your Python setup today! 2024 Comprehensive Guide on Setting Up Python Environment Master setting up the Python environment with my friendly guide. From installations to virtual environments—I've got you covered! 2024 How to Install Python on Windows? Learn how to install Python on Windows with a friendly, step-by-step guide. Perfect for developers and data scientists! 2024 Python Installation Troubleshooting: Effectively Check What's Wrong Struggling with Python installation? Discover key troubleshooting tips to fix common issues and streamline setup! 2024 How to Setup Jupyter Notebooks Correctly? Learn to setup Jupyter Notebooks with ease. Step-by-step guide for developers and data scientists. 2024 How to Properly Setup Python in Docker? Master setup Python Docker! Learn step-by-step to containerize Python apps and optimize your workflow. 2024 Python in Continuous Integration (CI): A Comprehensive Guide Master Python in Continuous Integration! From setup to best practices, I guide you through every step. 2024 Python Environment Best Practices Master Python environment best practices. Learn setup, virtualenv, pipenv, and more, in a friendly, easy guide! 2024 How to Automate Python Setup Scripts? Automate Python setup with my guide! Install Python, configure IDEs, and manage virtual environments easily. 2024 Python's Evolution: Tracing the Colorful History of Python Dive into the colorful history of Python! From its origins to future milestones, explore Python's evolutionary journey. 2024 Conquering the Python Interactive Mode Like a Pro Discover my journey with Python interactive mode and learn to conquer it like a pro! Perfect for beginners and pros! 2024 Dream Big, Python Career Opportunities Discover my journey through python career opportunities, from top skills to high-demand jobs and salaries! 2024 What is Python An Essential Guide Discover what Python is and how it can transform your life with web development and data science insights! 2024 Why Learn Python: Reasons Learning Python is Helpful Discover why learning Python can supercharge your career! From web development to data science, get started now! 2024 Embracing Python in Data Science: My Experience and Tips Discover my journey embracing Python in data science. Get tips, top libraries, and tools to enhance your skills! 2024 A Comprehensive Guide to Understanding PEPs Dive into understanding PEPs in Python! Unlock the magic with an easy guide for beginners and pros alike. 2024 The Python High Level Language Experience Discover Python, the high-level language, from basics to industry use. Perfect for beginners or pros wanting more! 2024 Exploring the Python Community Ecosystem Dive into the vibrant Python community ecosystem! Discover growth, engagement, and professional insights in my journey! 2024 A Light Look into Python Popular Libraries Discover Python's popular libraries! Unveil gems in data science, AI, and more. Perfect for beginners and pros! 2024 Introduction to Python: Start Here To Learn More About The Language Kickstart your coding journey! Dive into this friendly introduction to Python and master the basics effortlessly. 2024 A Comprehensive Look into Python vs Other Programming Languages Explore Python vs other programming languages! Discover its advantages, applications, and industry impact today! 2024 Discover Useful Python Use Cases Today Unleash your coding superpowers! Discover exciting Python use cases in web development, data science, and more today! 2024 How Does The Python Interpreter Work? Discover how Python works interpreter in a friendly breakdown! Perfect for beginners and pros alike. Lets dive in! 2024 Python Version Differences: Embracing the Evolution of The Language Discover python version differences! Learn key changes, migration tips, and future outlook in a friendly guide. 2024 Optimal Python Development Environments Revealed Discover the best Python development environments and boost your coding efficiency with friendly insights and tips! 2024 Python for Beginners Made Simple: Lets Dive in! Unlock Python for beginners easily! Dive into basics, projects, and build your skills with a friendly guide. 2024 Seamless Transitioning to Python Guide: Join the Python League Thinking of transitioning to Python? Discover essential skills and career insights in this friendly beginner's guide! 2024 Top-notch Resources to Learn Python Unlock your potential with top-notch resources to learn Python. From free courses to expert books, master Python today! 2024 Python Simple Syntax: Uncomplicating Writing Code Unlock Python's simple syntax journey! Discover essential tips, indentation best practices, and key features. 2023 How to Unzip Files with Python? Big data can sometimes be a real space hog on servers. To save room and ensure folks can grab stuff briskly, these smart folks compress those data piles. Now, g… 2023 How to calculate the Economic Order Quantity with Python? [8 Variations] Calculate Economic Order Quantity (EOQ) in Python — 8 model variations, from the classic formula to quantity discounts, safety stock, perishables, and stochastic demand. 2023 How to Calculate the Time Difference Between Two Dates in Pandas Calculate the time difference between two dates in Pandas: convert both columns to datetime and subtract to get the gap in days, hours, minutes, or seconds — with code. 2022 How to Handle an Unbalanced Dataset by Downsampling? In this article, we will go over how we can handle unbalanced datasets through downsampling. We will see how to downsample with Python, why it is important, and… 2022 5 Secrets To Finding & Hiring Top Data Science Talent Many companies are now harnessing the power of data by hiring top data science talent. You’ll find data scientists in all sorts of industries – government, tech… 2022 In Defense Of Remote Work: 6 Reasons Why It's The Future Many companies transitioned their office operations to a remote work setup following the spread of COVID19. Working remotely is not an entirely new idea: Before… 2022 How To Work From Home Part-Time As A Freelancer? [10 Helpful Tips] To work from home part time is a system in which you take on a job that does not require you to “go” to the office. Instead, you are free to work wherever you w… 2022 How Can I Freelance While Working Full Time? [8 Helpful Tips] Freelancing has been widespreading, and people now can earn money everywhere without going to the office. It is like a wideopen field where everyone can grow cr… 2022 How To Manage Multiple Clients As A Freelancer? When you decide to be fulltime freelance, one of the most common challenges is client management. How to manage multiple clients as a freelancer? It happens whe… 2022 5 Reasons Why You Should Do Customer Segmentation? It is crucial for a business to have a deep understanding of how its customers are segmented. This allows a business to focus on its target customer segment, th… 2022 How to Use Mean Imputation to Replace Missing Values in Python? Mean imputation is a technique used in statistics to fill in missing values in a data set. This is done by replacing the missing value with the mean of the rema… 2022 How to Remove Missing Values from your Data in Python? How to remove missing values in Python with pandas — drop NaNs by row or column with dropna(), when to drop vs impute, with code examples. 2021 How To Detect and Handle Outliers in Data Mining [10 Methods] How to detect and handle outliers in your data — 10 methods (Z-score, IQR, isolation forest and more) with Python code, and when to remove vs keep them. 2021 How to Normalize your Data with Python ? [5 Methods] How do you normalize your data using python? Normalization is another task that you will be performing quite often as a preprocessing step before running your m… 2021 How to Standardize your Data ? [Data Standardization with Python] Data standardization is a preprocessing step that you will be performing before running your model. Indeed, in some projects, you may improve the performance of… 2021 How to Create a Dataset with Python? How to create a dataset in Python for testing models or simulations — generate synthetic data with scikit-learn and NumPy, with code examples. 2021 Predicting heart disease with Data Science [Machine Learning Project] Predicting heart disease? Is that even possible? Well, it is indeed possible to predict the presence or absence of heart disease in a patient if you have access… 2021 Hyperparameter Tuning with Grid Search in Python Hyperparameter Tuning with GridSearch CrossValidation CV is another technique to find the best parameters for your model. In this post, I will be providing code… 2021 Major Natural Language Processing (NLP) Techniques What are the major NLP techniques? Language is a way of communication that allows us to talk, read, and write. For example, we think, make judgments, plan, and… 2021 Ultimate Guide on How to Choose the Right Algorithm in Machine Learning I am sure that sometimes you asked how do you choose the right machine learning algorithm for your problem. For every Machine Learning challenge, there exist nu… 2021 Why Causality in Machine Learning is an Problem? Causality in machine learning, what is it exactly? As humans, you understand that evil causes the ball to shift course. You know that the moment of hand is caus… 2021 Why is Deep Learning Called Deep? [Complete Deep Learning Definition] Why is deep learning called 'deep'? A plain-English definition — what the depth refers to, how deep networks differ from shallow ones, and why it matters. 2021 Type of Machine Learning Algorithms : The Complete Overview Machine learning is done through the use of algorithms. Indeed, each type of Machine Learning algorithms has its particularities and applies to specific situati… 2021 Gradient Descent in Neural Network. A Gentle Introduction. Gradient descent in neural networks, explained simply — how the optimization step works in backpropagation, the learning rate, and the common variants. 2021 How is Machine Learning Used in Influencer Marketing? How can machine learning be possibly used in influencer marketing? Only superstars and a few passionate bloggers deemed influencers a decade ago. However, it ap… 2021 Can Machine Learning Detect Fake News? [General Overview] Can machine learning detect fake news? How does machine learning detect fake news? Those are interesting question that I was curious about. False news has conti… 2021 How to Organize your Machine Learning Project [ML Project Planning] Organize your machine learning project sounds like something straightforward to do. However, I've never paid much attention to it until I had to do it myself. W… 2021 Why Do Machine Learning Strategies Fail? [9 Reasons Why] Why do your machine learning strategies fail? What are the main causes for your machine learning strategies falling? In this post, I will try to give you some p… 2021 How To Pick Your Data Annotation Tool? How to pick a data annotation tool for your AI project — the criteria that matter (data type, QA, workflow, cost) and how to choose without overpaying. 2021 How to use Scikit learn in a Machine Learning Project for Beginner? [Sklearn Tutorial] A beginner's scikit-learn (sklearn) tutorial — load data, do a train/test split, fit a model, and evaluate it in Python, step by step with code. 2021 Hyperparameter Tuning with Random Search in Python Hyperparameter tuning is a common task if you do machine learning. You will encounter and perform it multiple times if you plan to improve the performance of yo… 2021 How to Split your Dataset to Train, Test and Validation sets? [Python] Splitting data into train, test, and validation sets is a repetitive task. You will need to perform the split every time you run your machine learning models. I… 2021 Recommendation Engines: 7 companies to try in 2021 Recommendation engines, also known as personalization engines or recommendation software, help businesses recommend the right product or service to their custom… 2021 SQL Data Science: Most Common Queries all Data Scientists should know SQL is one of the top demanded skills in data science and data analysis. Indeed, SQL data science is mostly used to query the data you will be working with. It… 2021 A Gentle Introduction to Data Science Presentation (Storytelling) Data Science storytelling or data science presentation is one of the most underrated skills a data scientist can have. It is barely touched in most data science… 2021 Are Data Science and Machine Learning the same? Ever wondered if data science and machine learning the same? Well, Data science, machine learning, artificial intelligence, or deep learning are very confusing… 2021 Are Data Science Jobs in Demand? Are data science jobs in demand? Well, The key to the effective and impactful use of big data is data scientists. Data scientists manipulate large and unstructu… 2021 Best data visualization platforms : 9 Examples to try in 2021 Data visualization platforms are very useful tools now that businesses can capture customer experiences through various technologies. It allows them to identify… 2021 Top 10 Exploratory Data Analysis (EDA) libraries you have to try in 2021. The 10 best Python EDA libraries for fast exploratory data analysis — pandas-profiling, Sweetviz, D-Tale, AutoViz and more, with what each is good for. 2021 Can Data Science Be Automated? The advent of artificial intelligence, automation, and bots has lead us to think about whether data science is automated? Or, is automated data science going to… 2021 Why is Machine Learning important? [in 2021] The idea of machine learning is gaining more popularity with each passing day, and one thing we can say about this trend of machine learning is that it is here… 2021 How machine learning is used in Cybersecurity? [in 2021] Machine learning is a subset of artificial intelligence. From realtime cybercrime mapping to penetration testing, machine learning has become a crucial part of… 2021 Why Data Science is Important? Why is data science important? It is a question that a lot of people ask me, especially if they are not familiar with the industry. Data science, data scientist… 2021 AI and Non-AI implementation of eco-driving techniques. [IoT] Transport is a vital part of our modern economies as the quality of most of our life depends on the modern, accessible and efficient transport system. The devel… 2021 How to calculate the Customer Retention Rate (CRR)? [Shopify + Python example] Calculate Customer Retention Rate (CRR) in Python on a Shopify dataset — the formula, an overall yearly rate, and a per-location/segment breakdown with pandas. 2021 Google Analytics: How to get your Top N Products by location? Google Analytics GA is a fantastic tool that allows you to understand what goes into your website. However, you cannot answer all of your questions using GA. On… 2021 How to stay motivated as a Freelancer? The lack of motivation is, in my opinion, amongst the top reasons why people fail in freelancing. As humans, when we first have an idea, we naturally tend to be… 2021 Unfolding the Mystery of the Zipf’s Law The world is a very complex place. It has very complex events. Yet, no matter how complex those events are, an interesting phenomenon called the Zipf’s law happ… 2021 NetworkX: How to Import, Manipulate and Visualize a Network using Python? NetworkX tutorial: build, manipulate, and visualize graphs in Python — import data, add nodes and edges, and plot them, with code examples. 2021 What is the difference between Data Scientist, Data Analyst, Big Data and Machine Learning Specialist? In the field of Data, you often hear recurring terms like machine learning, data mining, data science, etc. For somebody new in the field, those terms can be qu… 2021 Simulating 10 000 Tic Tac Toe Games Tic Tac Toe game is amongst the very first paperandpencil game one learns. Its principle is rather very simple; two players put their marks X or O on a $latex 3…
NOTES · WEEKLY
One Saturday morning email.
What I worked on this week, what I read, one decision I made. No fluff. ~4 min read.
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